无代码平台的时间序列预测

Youcef Guichi, Erika Baksáné Varga
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引用次数: 0

摘要

提供无代码功能的机器学习平台允许用户在没有高级领域知识或培训的情况下使用机器学习。这些工具使那些没有正式软件开发专业知识的人能够创建机器学习应用程序。我们对现有无代码机器学习平台的分析表明,大多数平台提供核心机器学习,但不提供深度学习网络模型,并且不能免费访问。因此,我们创建了一个基于web的应用程序,允许研究人员在不需要编码的情况下实验关于时间序列预测的机器学习解决方案。本文通过一个案例分析来说明该平台的运行情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
No-code platform for time series prediction
Machine learning platforms that provide no-code capabilities allow for users to use machine learning without advanced domain knowledge or training. These tools enable those having no formal expertise in software development to create machine learning applications. Our analysis of existing no-code ML platforms reveals that most of them offer core ML, but not deep learning network models and can not be accessed for free. Therefore we have created a web-based application that allows researchers to experiment with machine learning solutions concerning time series prediction without the need for coding. This paper presents a case study demonstrating the operation of the platform.
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